Evidence map›Paper›PMID 41757191›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Fraud Prevalence and Prospective Prediction of Fraud Victimization in the Health and Retirement Study.

Melanie Leguizamon, Peter Lichtenberg, Laura Mosqueda, Emma Oyen, Belinda Y Zhang, Daisy T Noriega-Makarskyy, Cassidy P Molinare, Jordan T Williams, Jenna Axelrod, S Duke Han

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Melanie LeguizamonUniversity of Southern California, Department of Psychology, Los Angeles, CA, USA.ORCID 0009-0005-5721-6966
Peter LichtenbergInstitute of Gerontology, Wayne State University, Detroit, MI, USA.
Laura MosquedaKeck School of Medicine of USC, Department of Family Medicine, Alhambra, CA, USA.
Emma OyenUniversity of Southern California, Department of Psychology, Los Angeles, CA, USA.
Belinda Y ZhangUniversity of Southern California, Department of Psychology, Los Angeles, CA, USA.
Daisy T Noriega-MakarskyyUniversity of Southern California, Department of Psychology, Los Angeles, CA, USA.
Cassidy P MolinareUniversity of Southern California, Department of Psychology, Los Angeles, CA, USA.
Jordan T WilliamsUniversity of Southern California, Department of Psychology, Los Angeles, CA, USA.
Jenna AxelrodUniversity of Southern California, Department of Psychology, Los Angeles, CA, USA.
S Duke HanUniversity of Southern California, Department of Psychology, Los Angeles, CA, USA.

Funding

Mid-Career Development and Mentoring on Financial Vulnerability and Alzheimer's DiseaseK24AG081325 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DUKE HAN · 2023 to 2026
$798k
NIA NIH HHS K24 AG081325
6 · The paper itself

Abstract

Financial exploitation of older adults is an increasingly prevalent public health concern, yet few have characterized fraud prevalence longitudinally or evaluated whether financial exploitation vulnerability measures prospectively predict fraud outcomes. Using data from the Health and Retirement Study, we examined fraud prevalence across a 14-year period and tested whether the Perceived Financial Vulnerability Scale (PFVS) predicts subsequent fraud victimization among older adults. Fraud prevalence increased steadily over time, rising from 5.0% in 2008 (347 of N=6,920) to a peak of 10.2% in 2022 (448 of N=4,380). Higher PFVS scores measured in 2018 were associated with greater odds of fraud victimization reported in 2022 (OR=1.62, 95% CI [1.25-2.15],

Identifiers

PMID41757191
PMCPMC12934839

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.